Browsing Scientific Publications in Information and Communication Technology by Author "Rahman, Hameedur"

Now showing items 1-5 of 5

    • Advanced Human Pose Estimation and Event Classification using Context-Aware Features and XGBoost Classifier 

      Wahid, Wasim; Alarfaj, Aisha Ahmed; Alabdulqader, Ebtisam Abdullah; Sadiq, Touseef; Rahman, Hameedur; Jalal, Ahmad (Peer reviewed; Journal article, 2024)
      This paper presents an advanced approach to Human Pose Estimation (HPE) and Semantic Event Classification (SEC), emphasizing the need for sophisticated human skeleton models, context-aware feature extraction, and machine ...

    • Enhancing HEVC Efficiency: A Novel Approach to Intra-Mode Estimation through Hadamard Cost Analysis. 

      Tariq, Junaid; Javed, Imran; Sadiq, Touseef; Rahman, Hameedur; Farooqi, Ashfaq Hussain; Ijaz, Amir. (Peer reviewed; Journal article, 2024)
      In the realm of video coding, the quest for enhanced efficiency is unending. This study introduces a novel optimization in High Efficiency Video Coding (HEVC) by refining intra-mode estimation through Hadamard cost analysis. ...

    • A Novel Feature-Selection Algorithm in IoT Networks for Intrusion Detection 

      Nazir, Anjum; Memon, Zulfiqar; Sadiq, Touseef; Rahman, Hameedur; Khan, Inam Ullah (Peer reviewed; Journal article, 2023)
      The Internet of Things (IoT) and network-enabled smart devices are crucial to the digitally interconnected society of the present day. However, the increased reliance on IoT devices increases their susceptibility to malicious ...

    • A Systematic Literature Review of 3D Deep Learning Techniques in Computed Tomography Reconstruction 

      Rahman, Hameedur; Khan, Abdur Rehman; Sadiq, Touseef; Farooqi, Ashfaq Hussain; Khan, Inam Ullah; Lim, Wei Hong (Peer reviewed; Journal article, 2023)
      Computed tomography (CT) is used in a wide range of medical imaging diagnoses. However, the reconstruction of CT images from raw projection data is inherently complex and is subject to artifacts and noise, which compromises ...

    • Unmanned aerial vehicles for human detection and recognition using neural-network model 

      Abbas, Yawar; Al Mudawi, Naif; Alabdullah, Bayan; Sadiq, Touseef; Algarni, Asaad; Rahman, Hameedur; Jalal, Ahmad (Journal article; Peer reviewed, 2024)
      Introduction: Recognizing human actions is crucial for allowing machines to understand and recognize human behavior, with applications spanning video based surveillance systems, human-robot collaboration, sports analysis ...